A New Method for Process Plan Reasoning in Injection Mould Repairs

Abstract:

Mould-repair is an important task in the mould production and depends especially upon the experience of the engineer. It is much full of subjectivity and uncertainty. How to find the knowledge of mould repair and establish the mould repair solving project is an important problem for all the injection mould manufacturers in the industry. Using the Bayesian networks reasoning to help the technician establish the mould-repair solving project was put forward. The mould-repair Bayesian networks (MRBN) reasoning model was established according to the characteristic of mould-repair solving project. The reason control tactic of the process plan system and the reasoning engine of MRBN were designed. The application example about the shrinkage, ill-full injection, gas-obstructed is presented to prove the correctness of the method. The conclusion shows that it can help the engineers analyze the cause of problem well and recommend some more useful solutions.

• Periodical: Advanced Materials Research (Volumes 139-141)
• Pages: 1044-1047
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.139-141.1044
• Online since: October 2010
• Authors: Yi Wang
• Keywords: Bayesian Networks Reasoning, Mould-Repair, Process Plan

References

[1] Felix T.S. Chan, Henry C.W. Lau and Bing Jiang: In-line Proeess Conditions Monitoring Expert System for Injection Molding, Journal of Materials Processing Technology, vol 101 (2000) No. 1, pp.268-274.

DOI: 10.1016/s0924-0136(00)00435-0

[2] Zheng Yongke, Liang Peizhi and Yi Ping: Knowledge Reuse in Manufacturing Management of Mold & Die. China Mechanical Engineering , vol 17 (2006) No. 17, pp.271-273.

[3] Yu bin, Zhong Hanru, Zhong Muliang: Research of eliminating the defect of the plastic production. China Mechanical Engineering , vol 12 (2001) No. 6, pp.624-628.

[4] ZHANG H Y: A bayesian network approach to rational architectural design. International Journal of Software Engineering and Knowledge Engineering, vol 15(2005) No. 4 , pp.695-715.

[5] BOSISSOU M, POURRET O: A bayesian belief network based method for performance evaluation and troubleshooting of multi_state system. International Journal of Reliability, Quality and Safety Engineering, 10(2003) No. 4 , pp.407-416.

DOI: 10.1142/s0218539303001275

[6] Xiao Wumu: The Research and Design of Mould-repair Process Plan System. (MS. Guangdong University of Tehcnology, China 2008) , pp.20-46.

[7] Liu Junna: Research on the Bayesian Networks Inference. (MS. Hefei University of Tehcnology, China 2008) , pp.28-32.